Consultant/Senior Consultant - Data Engineer (AI, GenAI & MLOps Platforms)

About Slalom 

Slalom is a global, human-centric business and technology consulting firm. We specialise in partnering with organisations that aspire to excellence, helping them tackle complex challenges and achieve transformative results through strategy, technology, and business transformation services. By prioritising people, Slalom creates a unique consulting experience, with a team of strategists and engineers delivering practical, end-to-end solutions that drive impactful outcomes for our clients. We empower people and organisations to dream bigger, move faster, and build better tomorrows for all. 

About the Role 

As a Consultant/Senior Consultant in Data Engineering at Slalom, you will act as a lead data engineer, working at the forefront of modern data and AI platforms. You will partner closely with architects, data scientists, and client stakeholders to design and deliver scalable, AI-ready data platforms that power advanced analytics, machine learning, and Generative AI applications. Your engineering expertise and consulting mindset will help clients unlock business value through robust, production-grade data solutions. 

What You’ll Do 

• Lead the design and delivery of data platforms supporting analytics, ML, and GenAI workloads across cloud ecosystems (AWS, Azure, GCP) 
• Architect and build end-to-end ML data pipelines, including ingestion, transformation, feature engineering, and model-serving data flows 
• Design and implement GenAI-specific data pipelines, enabling unstructured data ingestion, embedding generation, vector indexing, and RAG architectures 
• Implement and manage MLOps practices, including CI/CD for ML pipelines, automated training/inference, and pipeline orchestration 
• Design and deploy model monitoring and observability frameworks, covering data/model drift, performance tracking, and auditability 
• Ensure data governance, security, and quality controls are embedded into AI pipelines for compliance and reliability 
• Participate in client-facing discussions, translating business needs into scalable data and AI solutions, and leading technical workstreams 
• Mentor engineers, drive delivery excellence, and champion the adoption of AI-accelerated engineering practices 
  
  

What You’ll Bring 

• 3-5 years (Consultant)/5-8+ years (Senior Consultant) of data engineering experience with a focus on production-grade delivery and building scalable data pipelines for ML, AI, and GenAI use cases (including embeddings, vector stores, and RAG patterns)
• Strong expertise in cloud ecosystems (AWS, Azure, GCP) and hands-on experience with modern data architectures and tools such as Snowflake, Databricks, Spark, Kafka, Airflow, and dbt
• Proven programming skills in Python (required) and experience with best practices for data engineering delivery
• Strong understanding of MLOps practices, including pipeline automation, reproducibility, and ML lifecycle integration
• Experience implementing model monitoring, observability, and governance frameworks to ensure quality and compliance
• Ability to operate in client-facing environments, lead technical workstreams, mentor engineers, and drive engineering excellence

Nice to Have 

• Experience with ML platforms (SageMaker, Azure ML, Vertex AI) 
• Experience with vector databases (Pinecone, FAISS, OpenSearch, Weaviate) 
• Exposure to LLM frameworks (LangChain, Semantic Kernel, etc.) 
• Experience delivering AI solutions in regulated environments (banking, government) 
• Experience with containerisation and platform engineering (Kubernetes, Terraform)

About Us

Deep connections, better outcomes
We have deep relationships with leading technology partners, and they love us for our innovative and outcome-based approach. Our people are passionate about solving our clients’ problems using the tech that’s the best solution for them. We’re there to work side-by-side with client teams, enabling their success long after we’ve gone. We’re all about momentum that outlasts us.

Flexibility
Life is busy, and we understand that. Our team often juggles work, family, personal commitments, and crucial client obligations. We prioritise supporting our people in balancing what matters to them while ensuring we meet our client commitments. Flexibility is key, as we sometimes need to adapt to meet client needs. This way, our team can work on high-impact projects they’ll love, knowing they have the flexibility to manage their personal and professional lives effectively.

People-first
Great solutions start with great people. At our employee-led company, your voice matters, and we love to hear your feedback. By leading with kindness, empathy, and striving for equity, we create better experiences for everyone. Our culture encourages passion, adventure, adaptability, and diverse thinking. Inclusion, diversity, and equity are our top priorities, empowering our team to be their best selves. Together, we can create a great future by working collaboratively and supporting each other.

What keeps us here?
Our Singapore office knows the importance of a good work/life balance. We have the freedom to be ourselves when life gets in the way. We make a big effort to bring everyone together and allow space when space is needed. We believe in helping each other thrive in work and life and are proud to invest in benefits that include holistic well-being, meaningful allowances, and investment in our team’s professional, technical, and personal growth.

It’s an exciting time to be one of our foundational members, getting involved in setting up our unique Singapore culture.